DisplayΒΆ

You can view the pictures captured by the Raspberry Pi camera in the browser.

Run the Code

cd /home/pi/vilib/examples
sudo python3 display.py

View the Image

After the code runs, the terminal will display the following prompt:

No desktop !
* Serving Flask app "vilib.vilib" (lazy loading)
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: off
* Running on http://0.0.0.0:9000/ (Press CTRL+C to quit)

Then you can enter http://<your IP>:9000/mjpg in the browser to view the video screen. such as: http://192.168.18.113:9000/mjpg

_images/display.png

Code

from vilib import Vilib

def main():
    Vilib.camera_start(vflip=False,hflip=False) # vflip:vertical flip, hflip:horizontal Flip
    # local:local display, web:web display
    # when local=True, the image window will be displayed on the system desktop
    # when web=True, the image window will be displayed on the web browser at http://localhost:9000/mjpg
    Vilib.display(local=True,web=True)
    print('\npress Ctrl+C to exit')

if __name__ == "__main__":
    main()

How it works?

The content involved in this article is exactly the basic function of the vilib library. We have already Install vilib.

What you need to focus on is the following:

from vilib import Vilib

All functions related to computer vision are encapsulated in this library.

Vilib.camera_start(vflip=True,hflip=True)

Let the camera module enter the working state. If you modify the two parameters of this function to False, the screen will be flipped horizontally/vertically.

Vilib.camera_close()

Stop the camera module.

Vilib.display(local=True,web=True)

Allows you to see the picture taken by the camera module.

  • Its parameter local=True is used to open the viewfinder in the Raspberry Pi desktop, which is suitable for remote desktop or the situation where a screen is provided for the Raspberry Pi.

  • The parameter web=True allows you to view the image through the browser, which is the method suggested in this article. It is suitable for the situation where your PC and Raspberry Pi are connected to the same local area network.